One Autonomy for All Robots. Field-proven embodied AI software that is finally unlocking the full potential of mobile robots in the real world. Backed by Khosla.
About the role
Depending on your research background and interests, you may work on one or more of the following areas: Robot Behavior & Learning: Research methods for learning, adapting, and generating robot behaviors from demonstrations, interaction, experience, and real-world data, enabling robots to perform long-horizon tasks in dynamic and unstructured environments. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Currently pursuing or recently completed a PhD in Robotics, Computer Science, Aerospace, Electrical Engineering, Mechanical Engineering, or a related field
- Strong research foundation in one or more areas such as robot learning, planning and decision-making, embodied AI, perception, active perception, or human-robot interaction
- Familiarity with state-of-the-art research in embodied AI and robotics
- Strong programming skills in Python and/or C++
- Experience with modern machine learning frameworks
- Experience developing and evaluating algorithms for robotic or embodied systems
More about this role
FieldAI ’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long...
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